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If you want to become a data scientist, this is the training to begin with. Using open source tools, it covers all the concepts necessary to move through the entire data science pipeline, and whether you intend to continue working with open source tools, or later opt for proprietary services, it will give you the foundation you need to assess which options best suit your needs.
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CONTACT USOur flexible, easy-to-redeem training vouchers are available to any employee within your organisation. For details, please call 0800 282 353 or chat live.
This product offers access to 3 on-demand courses and 5 eBooks that have been mapped directly to the objectives of the 5-day course. At any time during your annual access to this offering, you may attend one of our 1-day course events focused specifically on an Introduction to R for Data Analytics (5045).
There's no expectations regarding specific platforms except basic familiarity with a Windows environment. It’s designed for beginners, technical and non-technical.
No. While the content selected does map to the objectives of the instructor-led course, it does not include a recorded version of the instructor-led class. The objectives have been re-imagined to be presented in digital, self-guided formats.
An outline of the content you will receive can be seen above. You will also get access to any new on-demand content that becomes available during your annual enrolment period.
Yes! Each book and video begins with a step by step guide for you to set up a coding environment on your personal computer. The course content is full of examples and practical advice, followed up by the chance to embed your learning through real world tasks. All example code is available to download, copy and use - giving you the chance to work and practise as you read and watch.
Once payment is received, you will receive an email from Learning Tree with all the links and information you need to get started.
Once you are enrolled in the program, specific details and dates will be sent to you.
You'll be able to register for a Training Review Session at any time after you've placed your order.
3 - 7 Feb 9:00 AM - 4:30 PM GMT London / Online (AnyWare) Reserve Your Seat
20 - 24 Apr 9:00 AM - 4:30 PM BST London / Online (AnyWare) Reserve Your Seat
22 - 26 Jun 9:00 AM - 4:30 PM BST London / Online (AnyWare) Reserve Your Seat
3 - 7 Aug 9:00 AM - 4:30 PM BST London / Online (AnyWare) Reserve Your Seat
12 - 16 Oct 9:00 AM - 4:30 PM BST London / Online (AnyWare) Reserve Your Seat
10 - 14 Feb 2:00 PM - 9:30 PM GMT New York / Online (AnyWare) Reserve Your Seat
9 - 13 Mar 1:00 PM - 8:30 PM GMT Herndon, VA / Online (AnyWare) Reserve Your Seat
30 Mar - 3 Apr 2:00 PM - 9:30 PM BST Alexandria, VA / Online (AnyWare) Reserve Your Seat
11 - 15 May 2:00 PM - 9:30 PM BST New York / Online (AnyWare) Reserve Your Seat
14 - 18 Sep 2:00 PM - 9:30 PM BST Herndon, VA / Online (AnyWare) Reserve Your Seat
28 Sep - 2 Oct 2:00 PM - 9:30 PM BST Alexandria, VA / Online (AnyWare) Reserve Your Seat
16 - 20 Nov 2:00 PM - 9:30 PM GMT New York / Online (AnyWare) Reserve Your Seat
Guaranteed to Run
When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time, location — will run. Guaranteed.This Data Science, Machine Learning & AI training course includes 29 hours of Instructor-Led Training (ILT) or Virtual Instructor-Led Training (VILT) presented by a real-world data science expert. Attend in-person or online through our AnyWare virtual training platform.
There's no expectations regarding specific platforms except basic familiarity with a Windows environment.
It’s designed for beginners, technical and non-technical.
Exploratory Data Analysis with R
Facilitating good analytical thinking with data visualisation
Mining unstructured data for business applications
Estimating future values with linear regression
Automating the labelling of new data items
Assessing model performance
Identifying previously unknown groupings within a data set
Discovering connections with Link Analysis
Building and evaluating association rules
Constructing recommendation engines
Machine learning with neural networks
Expanding analytic capabilities
Dissemination and Data Science policies
Yes, this course is designed as an introduction to data science, machine learning, and AI, and does not require any specialised or technical knowledge prior to attendance.
Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want, including online training.
3 - 7 Feb 9:00 AM - 4:30 PM GMT London / Online (AnyWare)
20 - 24 Apr 9:00 AM - 4:30 PM BST London / Online (AnyWare)
22 - 26 Jun 9:00 AM - 4:30 PM BST London / Online (AnyWare)
3 - 7 Aug 9:00 AM - 4:30 PM BST London / Online (AnyWare)
12 - 16 Oct 9:00 AM - 4:30 PM BST London / Online (AnyWare)
10 - 14 Feb 2:00 PM - 9:30 PM GMT New York / Online (AnyWare)
9 - 13 Mar 1:00 PM - 8:30 PM GMT Herndon, VA / Online (AnyWare)
30 Mar - 3 Apr 2:00 PM - 9:30 PM BST Alexandria, VA / Online (AnyWare)
11 - 15 May 2:00 PM - 9:30 PM BST New York / Online (AnyWare)
14 - 18 Sep 2:00 PM - 9:30 PM BST Herndon, VA / Online (AnyWare)
28 Sep - 2 Oct 2:00 PM - 9:30 PM BST Alexandria, VA / Online (AnyWare)
16 - 20 Nov 2:00 PM - 9:30 PM GMT New York / Online (AnyWare)
Guaranteed to Run
When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time, location — will run. Guaranteed.This product offers access to 3 on-demand courses and 5 eBooks that have been mapped directly to the objectives of the 5-day course. At any time during your annual access to this offering, you may attend one of our 1-day course events focused specifically on an Introduction to R for Data Analytics (5045). Enrolling in this bundle also grants you access to any of our multi-day Introduction to Data Science, Machine Learning & AI (1253) course events.
There's no expectations regarding specific platforms except basic familiarity with a Windows environment. It’s designed for beginners, technical and non-technical.
No. While the content selected does map to the objectives of the instructor-led course, it does not include a recorded version of the instructor-led class. The objectives have been re-imagined to be presented in digital, self-guided formats.
An outline of the content you will receive can be seen above. You will also get access to any new on-demand content that becomes available during your annual enrolment period.
Yes! Each book and video begins with a step by step guide for you to set up a coding environment on your personal computer. The course content is full of examples and practical advice, followed up by the chance to embed your learning through real world tasks. All example code is available to download, copy and use - giving you the chance to work and practise as you read and watch.
Once payment is received, you will receive an email from Learning Tree with all the links and information you need to get started.
Once you are enrolled in the program, specific details and dates will be sent to you.
You'll be able to register for a Training Review Session at any time after you've placed your order.
Introduction to Big Data TrainingBig Data Technologies, Trends & Insights Training
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*Partner-delivered courses may have different terms that apply. Ask for details.